Carl Rothfels Dept of Integrative Biology evolutionary biology, phylogenetic methods, plant evolutionary biology
Ellie Tubman Dept of Nuclear Engineering magnetic fusion, collisionless shock waves, electromagnetic methods
Ambar La Forgia Haas School of Business health care, research methods, corporate strategy, mergers and acquisitions
Perry de Valpine Dept of Environmental Science, Policy & Management population ecology, mathematical modeling and statistics
Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
Franco Zunino Dept of Civil and Environmental Engineering cement chemistry, advanced characterization methods for cementitious materials, low-carbon concrete, supplementary cementitious materials, calcined clay technology, LCA of cement-based materials
Scott Straus Dept of Political Science comparative politics, international relations, formal theory and methods
James A. Sethian Dept of Mathematics mathematics, applied mathematics, partial differential equations, computational physics, level set Methods, computational fluid mechanics and materials sciences, fast marching methods
Robert L. Taylor Dept of Civil and Environmental Engineering computational mechanics, mechanics of solids, finite element methods, finite element software
Jacob (Jake) Grumbach Goldman School of Public Policy democracy, labor and employment, racial justice, quantitative methods, public policy, political economy, federalism
Trond Petersen Dept of Sociology Haas School of Business organizations, social stratification, inequality, economic sociology, comparative studies, quantitative methods, comparative gender in the workplace, hiring, promotions, wages
Tolani Britton School of Education social research methods, higher education policy, economics of higher education
Sunčica Čanić Dept of Mathematics applied mathematics, partial differential equations, computational methods, biomedical research
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Per-Olof Persson Dept of Mathematics applied mathematics, numerical methods, computational fluid and solid mechanics
Lia Scott School of Public Health breast cancer, structural racism as predictor of breast cancer, spatial epidemiologic methods
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Danya Lagos Dept of Sociology gender, transgender studies, social change, demography, survey research methods
Laura Stoker Dept of Political Science American politics, political behavior, political psychology, public opinion, voting and elections, political socialization, research design and empirical methods
Aditi Krishnapriyan Dept of Chemical & Biomolecular Engineering Division of Computer Science (EECS) machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
Thomas Schutzius Dept of Mechanical Engineering nanoscale transport phenomena, micro/nanofabrication techniques, interfacial optical methods, thermodynamic and interfacial modeling
Burkhard Militzer Dept of Earth and Planetary Science density functional methods, equation of state calculations, planetary interiors, materials at high pressure, theoretical mineral physics, path integration Monte Carlo, planet formation, quantum Monte Carlo method